Report: Government data mining has gone too far – and AI will make it worse
cyberscoop.com·2d
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Designing Perplexity
lukew.com·1d·
Discuss: Hacker News
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Multi-modal graph convolutional network for vessel trajectory prediction based on cooperative intention enhance using conditional variational autoencoder
sciencedirect.com·15h
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Building an Intelligent System
pub.towardsai.net·1d
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Title: The Rising Tide of AI Investments: Unlocking the Potential of Artificial Intelligence
dev.to·1d·
Discuss: DEV
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Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
arxiv.org·2h
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Automated Requirements Traceability & Impact Analysis via Semantic Graph Reasoning
dev.to·1d·
Discuss: DEV
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DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token viaReinforcement Learning
paperium.net·18h·
Discuss: DEV
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AI-Driven Feedback Loop Stabilization in Active Galactic Nuclei Simulations via Multi-Modal Data Fusion
dev.to·7h·
Discuss: DEV
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Ethics in AI Programming: Ensuring Fair and Transparent Algorithms
dev.to·1d·
Discuss: DEV
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AI Autopilot for AI: Dynamically Scaling Neural Nets on Edge Devices
dev.to·2d·
Discuss: DEV
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AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent
arxiv.org·2h
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Learning AI in the world of fast-moving AI
dev.to·3h·
Discuss: DEV
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Synthesizing Agentic Data for Web Agents with Progressive Difficulty EnhancementMechanisms
dev.to·1d·
Discuss: DEV
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Revolutionizing Continuous Learning with Nested Neural Networks
dev.to·2d·
Discuss: DEV
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What Past Computing Breakthroughs Teach Us About AI
cacm.acm.org·2d
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Closing the AI Execution Gap in Cybersecurity — A CISO Framework
darkreading.com·4d
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QuAnTS: Question Answering on Time Series
arxiv.org·2h
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<p>**Abstract:** This paper introduces a novel framework for auditing algorithmic fairness in predictive policing systems using causal graph analysis and counte...
freederia.com·15h
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The Evolution and Future of AI Development
dev.to·1d·
Discuss: DEV
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